mne.time_frequency.fit_iir_model_raw¶

mne.time_frequency.fit_iir_model_raw(raw, order=2, picks=None, tmin=None, tmax=None, verbose=None)[source]¶

Fit an AR model to raw data and creates the corresponding IIR filter.

The computed filter is fitted to data from all of the picked channels, with frequency response given by the standard IIR formula:

\[H(e^{jw}) = \frac{1}{a[0] + a[1]e^{-jw} + ... + a[n]e^{-jnw}}\]

Parameters:

Parameters:	raw : Raw object an instance of Raw. order : int order of the FIR filter. picks : array-like of int \| None indices of selected channels. If None, MEG and EEG channels are used. tmin : float The beginning of time interval in seconds. tmax : float The end of time interval in seconds. verbose : bool, str, int, or None If not None, override default verbose level (see `mne.verbose()` and Logging documentation for more).
Returns:	b : ndarray Numerator filter coefficients. a : ndarray Denominator filter coefficients

raw : Raw object